VariantFoldRNA: a flexible, containerized, and scalable pipeline for genome-wide riboSNitch prediction
Single nucleotide polymorphisms (SNPs) can alter RNA structure by changing the proportions of existing conformations or leading to new conformations in the structural ensemble. Such structure-changing SNPs, or riboSNitches, have been associated with diseases in humans and climate adaptation in plants. While several computational tools are available for predicting whether an SNP is a riboSNitch, these tools were generally developed to analyze individual RNAs and are not optimized for genome-wide analyses. To fill this gap, we developed VariantFoldRNA, a flexible, containerized, and automated pipeline for genome-wide prediction of riboSNitches. Our pipeline automatically installs all dependencies, can be run locally or on high-performance clusters, and is modular, enabling the user to customize the analysis for the research question of interest. VariantFoldRNA can predict riboSNitches genome-wide at user-specified temperatures and splicing conditions, opening the door to novel analyses. The pipeline is an open-source command-line tool that is freely available at https://github.com/The-Bevilacqua-Lab/variantfoldrna.
Authors
- Sarah M. Assmann (ORCID: https://orcid.org/0000-0003-4541-1594)
- Philip C. Bevilacqua (ORCID: https://orcid.org/0000-0001-8074-3434)
- Kobie J. Kirven (ORCID: https://orcid.org/0000-0002-8627-0743)
Institutions
- Pennsylvania State University (US)
Publication Details
- Journal
- NAR Genomics and Bioinformatics
- Published
- 2025-03-29
- DOI
- https://doi.org/10.1093/nargab/lqaf066
- Primary Topic
- RNA and protein synthesis mechanisms
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- National Science Foundation
- National Institutes of Health